Reproducible human-data infrastructure for AI video
EvalForge turns broadcast-grade visual judgment into reproducible human-data infrastructure. RubricLab helps AI-video teams design evaluation instruments, score outputs consistently, confirm preference rankings, and export defensible training data — without uploading private media.
The workflow
Author a rubric, import a local batch, blind and randomize, score independently, confirm or override the calculated preference, review dataset quality, and export traceable records.
Privacy by design
Media never leaves your machine. Batches, scores, and model identities live only in your browser's local storage; solely de-identified preference records are ever exported. New to the workflow? Open RubricLab and choose Load sample project to walk the entire pipeline with synthetic data and no files of your own.
The evidence
Every claim is inspectable: read the methodology, review the study protocols, and open the application itself.